发现 blockchain automation tools 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Protect repositories from accidental secret commits. Essential when working with AI agents. Use when: setting up new project, adding pre-commit hooks, scanning for secrets, fixing leaked credentials. Triggers:...
Execute structural refactoring with test verification before behavioral changes - use when tidying code before features, cleaning up duplication, or improving clarity
Create and maintain CLAUDE.md files for Claude Code projects. Use when users want to create a new CLAUDE.md, improve an existing one, audit CLAUDE.md quality, set up Claude Code configuration for a repository,...
Standard Operating Procedure for /roadmap usage. Manage product roadmap via GitHub Issues (brainstorm, prioritize, track). Auto-validates features against project vision (from overview.md) before adding to road...
Standard Operating Procedure for /init-project phase. Guide one-time project setup with interactive questionnaire, brownfield codebase scanning, 8-document generation (overview, architecture, tech-stack, data,...
Multi-language code formatting and style enforcement with automatic linting fixes
Raise PR quality with templates, checklists, and security reviews
AI-powered code generation for boilerplate, tests, data, and scaffolding
End-to-end release automation with semantic versioning, changelog generation, and multi-environment deployment
Detects code/documentation drift, validates examples, generates diagrams, auto-updates documentation
Automated dependency management with security scanning, update orchestration, and compatibility validation
Uses the Vibesafe MCP server to scan, compile, test, save, diff, and report status for Vibesafe units. Activate when the user asks to run vibesafe CLI commands (scan/compile/test/save/diff/status), regenerate c...
Claude Code Commands system, workflow orchestration, and command-line interface patterns. Use when creating custom commands, managing workflows, or implementing CLI interfaces.
Handle template comparison and optimization workflows including backup detection, smart merging, and update completion reporting. Enhanced with Context7 MCP for up-to-date documentation.
README.md generation specialist with dynamic project analysis capabilities. Master professional README creation, specialized templates, and automated documentation generation. Create comprehensive, engaging R...
Enterprise systematic code review orchestrator with TRUST 5 principles, multi-language support, Context7 integration, AI-powered quality checks, SOLID principle validation, security vulnerability detection, and...
Enterprise Master-Clone pattern implementation guide for complex multi-step tasks with full project context, autonomous delegation, parallel processing, and intelligent task distribution; activates for large-sc...
Enhanced docs linting with AI-powered features. Enhanced with Context7 MCP for up-to-date documentation.
Comprehensive change tracking and audit logging system that monitors file modifications, code changes, and project evolution. Use when tracking project history, maintaining audit trails, analyzing development p...
Use when configuring Karabiner-Elements keyboard customizations, before writing JSON - provides systematic workflow for complex modifications with correct structure, common patterns, and guidance on manual vs g...
Intelligent cover letter formatting with semantic understanding of structure and content (project, gitignored)
AI-powered enterprise refactoring with Context7 integration, automated code transformation, Rope pattern intelligence, and technical debt quantification across 25+ programming languages
Enterprise comprehensive code review automation with AI-powered quality analysis, TRUST 5 enforcement, multi-language support, Context7 integration, security scanning, performance analysis, test coverage valida...
Auto-detects project language and framework from package.json, pyproject.toml, Cargo.toml, go.mod, and other configuration files with comprehensive pattern matching based on 17,253+ production code examples.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。